Processing method and device for source tracing of water source pollution, electronic equipment and storage medium
By constructing geological and geomorphological models and hydrodynamic water quality models, combining real-time water quality data and pollutant transmission models, accurate traceability of groundwater source pollution is achieved, and the problem of inability to effectively monitor and manage groundwater pollution in the existing technology is solved.
Patent Information
- Application Number
- CN202411931265.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-25
- Publication Date
- 2025-04-18
AI Technical Summary
The existing technology is difficult to accurately locate and track groundwater source pollution, resulting in the inability to effectively monitor and manage groundwater pollution.
By obtaining real-time water quality data of the water source to be monitored, a geological geomorphological model and a hydrodynamic water quality model are constructed, the groundwater pollution exit location is predicted, and the target pollution source point is determined through the pollutant transmission model, thereby achieving accurate traceability of groundwater source pollution.
Accurate positioning and tracking of groundwater source pollution has been achieved, and the efficiency of groundwater pollution monitoring and management has been improved.
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Figure CN119848669A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of water pollution treatment, and in particular to a method and device for tracing the source of water pollution, an electronic device and a storage medium. Background Art
[0002] In related technologies, with the rapid development of social economy and urbanization, the intensity of development and utilization of natural water bodies such as rivers, lakes and reservoirs has continued to increase, resulting in an increasing number of water pollution problems. The frequent occurrence of phenomena such as water quality deterioration, reduction of aquatic biodiversity, and outbreaks of blue algae blooms has aggravated the degradation of river and lake water resources, water environment, and water ecology. At present, the main way to deal with water pollution is to treat surface water, but due to the lack of effective traceability monitoring of groundwater source pollution, it is impossible to accurately locate and track groundwater source pollution.
[0003] In summary, the technical problems existing in the relevant technologies need to be improved. Summary of the invention
[0004] The main purpose of the embodiments of the present application is to propose a method and device for tracing the source of water pollution, an electronic device and a storage medium, which can accurately locate and track groundwater source pollution.
[0005] To achieve the above purpose, one aspect of an embodiment of the present application provides a method for tracing the source of water pollution, the method comprising the following steps:
[0006] Obtain real-time water quality data of the water source to be monitored;
[0007] Constructing a geological and geomorphological model of the water source to be monitored;
[0008] Constructing a hydrodynamic and water quality model of the water source to be monitored according to the geological and geomorphological model;
[0009] Predicting the location of the groundwater pollution outlet to be selected based on the real-time water quality data and the hydrodynamic water quality model;
[0010] Constructing a pollutant transmission model for the water source to be monitored;
[0011] The target pollution source point is determined according to the geological and geomorphological model, the location of the groundwater pollution outlet to be selected and the pollutant transmission model.
[0012] In some embodiments, the step of obtaining real-time water quality data of a water source to be monitored includes:
[0013] Determine the key points of the water source to be monitored;
[0014] Several types of real-time water quality data of the key points are collected through a preset collection method.
[0015] In some embodiments, constructing the geological and geomorphological model of the water source to be monitored includes:
[0016] Acquire first topographic and geological data around the water source to be monitored, wherein the first topographic and geological data includes topographic map data, geological structure map data, and soil type distribution map data;
[0017] The geological and geomorphic model of the water source to be monitored is constructed based on the first topographic and geological data.
[0018] In some embodiments, the hydrodynamic water quality model is as follows:
[0019]
[0020] In the formula, C represents the initial concentration of pollutants, t represents the diffusion time of pollutants, and u represents the fluid velocity vector. represents the Hamiltonian operator, k represents the pollutant degradation coefficient, D represents the pollutant diffusion coefficient matrix, x, y and z represent the x-axis coordinate, y-axis coordinate and z-axis coordinate corresponding to the key point respectively, and R(x, y, z, t) represents the total amount of pollutants at the key point (x, y, z) at the pollutant diffusion time t.
[0021] In some embodiments, predicting the location of the groundwater pollution outlet to be selected based on the real-time water quality data and the hydrodynamic water quality model includes:
[0022] generating a water quality time series according to the real-time water quality data;
[0023] Calculate the ratio of the initial concentration of pollutants to the diffusion time of pollutants according to the water quality time series and the hydrodynamic water quality model;
[0024] The location of the groundwater pollution outlet to be selected is predicted based on the ratio and the Bayesian inference model.
[0025] In some embodiments, constructing the pollutant transport model of the water source to be monitored includes:
[0026] Constructing a groundwater flow model of the water source to be monitored;
[0027] A pollutant transport model of the water source to be monitored is constructed based on the groundwater flow model.
[0028] In some embodiments, determining the target pollution source point according to the geological and geomorphological model, the location of the groundwater pollution outlet to be selected, and the pollutant transmission model includes:
[0029] Analyze the pollutant composition information corresponding to the groundwater pollution outlet location to be selected;
[0030] Determine second topographic and geological data of the location of the groundwater pollution outlet to be selected according to the geological and geomorphological model;
[0031] According to the pollutant composition information and the second topographic and geological data, simulating the pollutant propagation process through the pollutant transport model to obtain a simulation result;
[0032] The target pollution source point is determined according to the simulation result.
[0033] To achieve the above-mentioned purpose, another aspect of the embodiment of the present application provides a water pollution source tracing processing device, the device comprising:
[0034] The first module is used to obtain real-time water quality data of the water source to be monitored;
[0035] The second module is used to construct a geological and geomorphological model of the water source to be monitored;
[0036] The third module is used to construct a hydrodynamic and water quality model of the water source to be monitored based on the geological and geomorphological model;
[0037] A fourth module is used to predict the location of the groundwater pollution outlet to be selected based on the real-time water quality data and the hydrodynamic water quality model;
[0038] The fifth module is used to construct a pollutant transmission model for the water source to be monitored;
[0039] The sixth module is used to determine the target pollution source point based on the geological and geomorphological model, the location of the groundwater pollution outlet to be selected and the pollutant transmission model.
[0040] To achieve the above object, another aspect of an embodiment of the present application provides an electronic device, including:
[0041] at least one processor;
[0042] at least one memory for storing at least one program;
[0043] When the at least one program is executed by the at least one processor, the at least one processor implements the above method.
[0044] To achieve the above objective, another aspect of an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program implements the above method when executed by a processor.
[0045] The embodiments of the present application include at least the following beneficial effects: The present application provides a processing method and device, electronic device and storage medium for tracing the source of water pollution. The scheme obtains real-time water quality data of the water source to be monitored, constructs a geological and geomorphological model of the water source to be monitored, and then constructs a hydrodynamic and water quality model of the water source to be monitored based on the geological and geomorphological model. Then, the location of the groundwater pollution outlet to be selected is predicted based on the real-time water quality data and the hydrodynamic and water quality model. Then, after constructing a pollutant transmission model of the water source to be monitored, the target pollution source point is determined based on the geological and geomorphological model, the location of the groundwater pollution outlet to be selected and the pollutant transmission model, so that the groundwater source pollution can be accurately located and tracked. BRIEF DESCRIPTION OF THE DRAWINGS
[0046] Figure 1 It is a schematic diagram of the implementation environment of the method for tracing the source of water pollution provided in the embodiment of the present application;
[0047] Figure 2 It is a flow chart of a method for tracing the source of water pollution provided in an embodiment of the present application;
[0048] Figure 3 It is a flow chart for obtaining real-time water quality data of a water source to be monitored provided by an embodiment of the present application;
[0049] Figure 4 It is a flow chart of constructing a geological and geomorphic model of a water source to be monitored provided in an embodiment of the present application;
[0050] Figure 5 It is a flow chart for predicting the location of a groundwater pollution outlet to be selected based on real-time water quality data and a hydrodynamic water quality model provided in an embodiment of the present application;
[0051] Figure 6 It is a flow chart of constructing a pollutant transmission model for a water source to be monitored provided in an embodiment of the present application;
[0052] Figure 7 It is a flow chart for determining the target pollution source point according to the geological and geomorphological model, the location of the groundwater pollution outlet to be selected and the pollutant transmission model provided in the embodiment of the present application;
[0053] Figure 8 It is a complete implementation flow chart of the water source pollution tracing treatment method provided in the embodiment of the present application;
[0054] Fig. 9 It is a schematic diagram of the structure of a water source pollution tracing treatment device provided in an embodiment of the present application;
[0055] Fig.10 It is a schematic diagram of the hardware structure of the electronic device provided in the embodiment of the present application. DETAILED DESCRIPTION
[0056] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is further described in detail below in conjunction with the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the embodiments of the present application, they are only examples of devices and methods consistent with some aspects of the embodiments of the present application.
[0057] It is understood that the terms "first", "second", etc. used in this application can be used to describe various concepts in this article, but unless otherwise specified, these concepts are not limited by these terms. These terms are only used to distinguish one concept from another concept. For example, without departing from the scope of the embodiment of the present application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the words "if" and "if" as used herein can be interpreted as "at the time of" or "when" or "in response to determination".
[0058] The terms "at least one", "multiple", "each", "any", etc. used in this application, at least one includes one, two or more, multiple includes two or more, each refers to each of the corresponding multiple, and any refers to any one of the multiple.
[0059] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.
[0060] Before describing the embodiments of the present application in detail, some nouns and terms involved in the embodiments of the present application are first described. The nouns and terms involved in the embodiments of the present application are subject to the following interpretations:
[0061] The hydrodynamic water quality model is a mathematical model used to describe the migration and transformation of pollutants in water bodies. The hydrodynamic water quality model combines the hydrodynamic model and the water quality model, taking into account the flow characteristics of the water body (such as flow velocity, flow rate, water level, etc.) and the source, diffusion, degradation and other processes of pollutants. Through the hydrodynamic water quality model, the transport, diffusion and transformation of pollutants in the water body can be predicted, thereby providing decision support for water quality management and protection. Among them, the hydrodynamic model is used to describe the movement of water bodies, including the temporal and spatial changes of hydrodynamic elements such as flow velocity, flow rate, and water level; the water quality model is used to describe the migration and transformation of pollutants in water bodies, and study the source, diffusion, and degradation of pollutants; the water environment capacity refers to the ability of water bodies to accept, decompose, and adsorb specific water quality pollutants within a certain period of time.
[0062] Groundwater flow model is a scientific method used to describe and predict groundwater flow processes. Groundwater flow models usually include two basic components: conceptual model and mathematical model. Among them, the conceptual model is a textual description and summary of the groundwater flow system, which summarizes the hydrogeological characteristics of the region based on the results of hydrogeological surveys. Specifically, the conceptual model helps to understand the structure and behavior of the groundwater flow system and provides a basis for the establishment of mathematical models. Mathematical models are a set of equations based on the law of conservation of mass and the law of conservation of energy, which are used to quantitatively simulate the movement and storage process of water in aquifers. Mathematical models usually include water balance equations and Darcy's law, which describes the relationship between the flow velocity of groundwater in porous media and the hydraulic gradient.
[0063] The geological geomorphological model is an abstract and simplified representation of various forms and geological features on the earth's surface. It helps workers understand the structure, form and process of geological action on the earth's surface. The geological geomorphological model includes topographic geomorphological model, geological action model and geological disaster model. Among them, the topographic geomorphological model is used to describe various forms of the earth's surface, such as mountains, hills, plateaus, plains and basins, etc., and can reflect the impact of internal and external geological actions on the earth's crust, including the ups and downs of the surface, the distribution of land and sea, and the tectonic framework. The geological action model covers the material composition, structure, structure, and development history of the earth, including the differentiation of the earth's spheres, physical and chemical properties, rock and mineral composition, the output state of rock layers and rock bodies, contact relationships and other information. The geological disaster model is used to describe geological disasters caused by human or natural factors, such as collapse, landslides, mudslides, ground fissures, soil erosion, land desertification, soil salinization, earthquakes, volcanoes, geothermal damage, etc.
[0064] Bayesian reasoning updates the understanding of unknown parameters by combining prior knowledge and sample data. This process is reflected in the transformation from prior distribution to posterior distribution. Prior distribution provides an initial probability estimate, and posterior distribution updates the parameters based on sample data to obtain a more accurate inference of unknown parameters.
[0065] Specific yield is a parameter used to describe the water release capacity of an aquifer, which represents the ratio of the volume of water that can be released by a saturated medium under gravity drainage to the total volume of the medium. Specifically, specific yield is a parameter that characterizes the water release (water storage) capacity of the entire thickness of an aquifer, which is equal to the product of the thickness of the aquifer and the unit water release coefficient. Numerically, specific yield is usually equal to porosity minus water holding capacity, dimensionless, and usually expressed as a decimal.
[0066] Pollutant concentration refers to the amount of pollutants contained in a unit volume (such as per cubic meter, per liter). Pollutant concentration reflects the density of pollutants in the environment and is usually used to measure air quality or water quality. For example, in air pollution, volume concentration (such as ppm, parts per million) and mass-volume concentration (such as mg / m 3 ) to indicate the content of pollutants in the air.
[0067] Pollutant composition refers to the specific substances that make up a pollutant. These substances may be gases, liquids, or solids, and may cause direct or indirect damage to human health or the environment. Understanding pollutant composition is essential for developing effective pollution prevention measures and regulations.
[0068] In related technologies, with the rapid development of social economy and urbanization, the intensity of development and utilization of natural water bodies such as rivers, lakes and reservoirs has continued to increase, resulting in an increasing number of water pollution problems. The frequent occurrence of phenomena such as water quality deterioration, reduction of aquatic biodiversity, and outbreaks of blue algae blooms has aggravated the degradation of river and lake water resources, water environment, and water ecology. It can be seen that no one not only threatens the ecological security of the basin, but also affects daily production and life.
[0069] Specifically, the sources of pollutants in rivers and lakes mainly include atmospheric deposition, discharge from sewage outlets, non-point source pollution, groundwater, etc. In order to accurately prevent and control water pollution, we must first identify the sources of pollution entering rivers and lakes, that is, to conduct basin pollution source tracing analysis. At present, the following measures have been taken for surface water pollution: First, through strict emission standards, the sewage discharge process of key industries and enterprises is supervised and controlled to reduce the discharge of pollutants into surface waters; second, through ecological restoration and vegetation restoration, the ecological environment of polluted surface waters is improved, the self-purification capacity of water bodies is improved, and the degree of pollution is reduced; third, surface water treatment projects are carried out to repair polluted waters and improve water quality, including cleaning, improving and repairing water bodies and surrounding environments; fourth, pollution source monitoring instruments are set up near possible pollution sources to monitor the discharge of pollution sources such as industrial wastewater and farmland runoff, and to grasp the situation of pollution sources in real time. However, this method can only monitor the discharge of surface water, and cannot trace the source of pollution in areas where pollution already exists, let alone locate and track groundwater pollution.
[0070] In view of this, a processing method and device, electronic device and storage medium for tracing the source of water pollution are provided in the embodiments of the present application. The present application obtains real-time water quality data of the water source to be monitored and constructs a geological and geomorphological model of the water source to be monitored. Then, a hydrodynamic and water quality model of the water source to be monitored is constructed according to the geological and geomorphological model. Then, the location of the groundwater pollution outlet to be selected is predicted according to the real-time water quality data and the hydrodynamic and water quality model. Then, after constructing the pollutant transmission model of the water source to be monitored, the target pollution source point is determined according to the geological and geomorphological model, the location of the groundwater pollution outlet to be selected and the pollutant transmission model, so that the groundwater source pollution can be accurately located and tracked.
[0071] First, refer to Figure 1 , Figure 1 Schematic diagram of the implementation environment of a water source pollution tracing treatment method provided in the embodiment of the present application. Figure 1, the hardware and software main body of the implementation environment mainly includes an operation terminal 110 and a server 120, and the operation terminal 110 is connected to the server 120 in communication. Among them, the processing method for tracing the source of water pollution provided in the embodiment of the present application can be applied to the operation terminal 110, can also be applied to the server 120, and can also be software running in the operation terminal 110 or the server 120. In some embodiments, the operation terminal 110 can be a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, and a car terminal, etc., but is not limited to this; the server 120 can be configured as an independent physical server, or a server cluster or distributed system composed of multiple physical servers, and can also be configured as a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. The server can also be a node server in a blockchain network; the software can be an application of a processing method for tracing the source of water pollution, etc., but is not limited to the above forms. Specifically, a communication connection can be established between the operation terminal 101 and the server 102 through a wireless network or a wired network, which uses standard communication technology and / or protocols. The network can be set to the Internet or any other network, such as but not limited to a local area network (LAN), a metropolitan area network (MAN), a wide area network (WAN), a mobile, wired or wireless network, a private network or any combination of a virtual private network.
[0072] The present application can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, etc. The present application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present application can also be practiced in distributed computing environments, in which tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices.
[0073] Figure 2 is an optional flow chart of a method for tracing the source of water pollution provided in an embodiment of the present application. Figure 2 The method may include but is not limited to steps S210 to S260:
[0074] Step S210, obtaining real-time water quality data of the water source to be monitored;
[0075] It is understandable that the water source to be monitored can be an area that the current staff needs to monitor in real time. For example, assuming that there are areas 1, 2, and 3, if the area that the current staff needs to monitor in real time is area 2, then area 2 will be used as the water source to be monitored in the current monitoring process; if the area that the current staff needs to monitor in real time is area 3, then area 3 will be used as the water source to be monitored in the current monitoring process. This embodiment determines the area that the current staff needs to monitor in the current time period from multiple areas, thereby improving the monitoring efficiency of the staff. Specifically, after determining the water source to be monitored, this embodiment can collect real-time water quality data of the water source to be monitored by real-time collection, thereby effectively improving the timeliness of real-time water quality data.
[0076] Step S220, constructing a geological and geomorphic model of the water source to be monitored;
[0077] It is understandable that the construction process of this embodiment can be constructed by existing modeling software. Specifically, when the method of the embodiment of the present application is applied to the server, this embodiment can construct the geological and geomorphic model of the water source to be monitored by calling the modeling software; or after the geological and geomorphic model of the water source to be monitored is pre-constructed by the modeling software, the geological and geomorphic model is packaged and uploaded to the server, so that the server can directly obtain the file package corresponding to the geological and geomorphic model from the storage area for model application. The model construction method of this embodiment can be selected according to actual conditions. Specifically, the geological and geomorphic model constructed by this embodiment can effectively reflect the surface structure and morphology of the water source to be monitored and the process of geological action, so as to provide geological and geomorphic related data support for subsequent analysis and processing processes.
[0078] Step S230, constructing a hydrodynamic and water quality model of the water source to be monitored according to the geological and geomorphological model;
[0079] It is understandable that the geological and geomorphic model of the embodiment of the present application can reflect the geological structure characteristics and topographic characteristics of the water source to be monitored, so that the staff can quickly understand the path and flow law of groundwater flow. Therefore, this embodiment constructs a hydrodynamic and water quality model of the water source to be monitored based on the geological and geomorphic model, so that the hydrodynamic and water quality model can accurately reflect the force exerted by the fluid (water) in the water source to be monitored on the object during the movement process and the migration and transformation law of pollutants in the water body.
[0080] Step S240, predicting the location of the groundwater pollution outlet to be selected based on the real-time water quality data and the hydrodynamic water quality model;
[0081] It is understandable that when it is determined based on real-time water quality data that there is water pollution in the water source to be monitored, the location of the groundwater pollution outlet to be selected can be predicted by the hydrodynamic water quality model. Exemplarily, for the water source A1 to be monitored, when it is determined based on the real-time water quality data of the water source A1 to be monitored that there is water pollution in the water source A1 to be monitored, the hydrodynamic water quality model of the water source A1 to be monitored is called to analyze the outlet location of the traced water pollution. Since the hydrodynamic water quality model is constructed based on the geological and geomorphological model, the water flow path corresponding to the water source A1 to be monitored and the water flow inlet position of the path can be analyzed through the hydrodynamic water quality model, and then the real-time water quality data is combined to determine one or more locations closest to the actual situation from multiple water flow inlet positions as the groundwater pollution outlet location to be selected, thereby completing the preliminary tracing and positioning process of groundwater pollution.
[0082] Step S250, constructing a pollutant transmission model for the water source to be monitored;
[0083] It is understandable that the construction process of the pollutant transmission model can be constructed through existing modeling software. Specifically, when the method of the embodiment of the present application is applied to the server, the embodiment can construct the pollutant transmission model of the water source to be monitored by calling the modeling software; or the pollutant transmission model of the water source to be monitored can be pre-constructed by the modeling software, and then the pollutant transmission model can be packaged and uploaded to the server, so that the server can directly obtain the file package corresponding to the geological and geomorphic model from the storage area for model application. The model construction method of this embodiment can be selected according to actual conditions. Specifically, the pollutant transmission model of this embodiment can simulate the flow transmission path of pollutants in the water source to be monitored, so that the actual flow direction of pollutants can be displayed by simulation.
[0084] Step S260: determine the target pollution source point according to the geological and geomorphological model, the location of the groundwater pollution outlet to be selected, and the pollutant transmission model.
[0085] It is understandable that the geological and geomorphic model of the present embodiment can effectively reflect the surface structure and morphology of the water source to be monitored and the process of geological action. The pollutant transport model of the present embodiment can simulate the flow state and direction of the fluid (pollutant). Therefore, after determining multiple groundwater pollution outlet locations to be selected, the present embodiment, based on the surface structure and morphology reflected by the geological and geomorphic model and the process of geological action, obtains the position point closest to the actual situation through reverse simulation of the pollutant transport model as the target pollution source point.
[0086] From the above content, it can be seen that the method of the embodiment of the present application can not only simulate the propagation process of pollutants in groundwater, but also simulate the transmission process of pollutants in soil by combining the geological and geomorphological model around the water source and the pollutant transmission model, and then reversely deduce the target pollution source point based on the propagation process, so that the derived pollution source is more accurate, thereby completing the accurate positioning and tracking process of groundwater source pollution.
[0087] In the embodiments of the present application, Figure 3 As shown, the process of obtaining real-time water quality data of the water source to be monitored includes but is not limited to steps S310 to S320:
[0088] Step S310, determining the key points of the water source to be monitored;
[0089] Step S320: collect several types of real-time water quality data at key points through a preset collection method.
[0090] It is understandable that the water source to be monitored in this embodiment can be a district. When it is necessary to monitor water pollution in the district, multiple water quality monitoring modules can be arranged in the district to obtain more water quality data, so as to improve the accuracy of subsequent water pollution tracing. Since pollutants flow with the water flow, the present embodiment can also select several key points based on the water flow path for water quality monitoring and collection, so as to effectively reduce the monitoring cost. Exemplarily, when there are water flow path 1, water flow path 2 and water flow path 3 in the district, the entrances and exits of the three water flow paths are different. In this embodiment, water quality data collection modules can be arranged in the three key points of the entrance, middle section and exit section of each water flow path, so as to collect water quality data through the water quality data collection modules on these key points, so as to reflect the water pollution state in each water flow path based on the real-time water quality data collected. Specifically, the key points in each path can be adjusted according to the actual situation, for example, they can be adjusted according to the turning point of the water flow path, the path width and other information.
[0091] It is understandable that the water quality data acquisition module may include but is not limited to a water quality monitor. The working state of the water quality monitor can be controlled by a server or manually by a staff member. The preset acquisition method of this embodiment can be used to control the working state of the water quality data acquisition module. For example, the water quality data acquisition frequency of the water quality data acquisition module can be controlled by setting a frequency control instruction of the preset acquisition method. In this embodiment, the real-time water quality data type collected at each key point includes several types of water quality data, including but not limited to temperature, pH value, dissolved oxygen, organic pollutants, heavy metals and other water quality parameters. The real-time water quality data collected in this embodiment can be uploaded to the server in real time. The server will preliminarily judge whether there is water pollution in the corresponding water flow path based on the real-time water quality data. When there is water pollution, the server can start the subsequent steps to realize the tracing and positioning process of water pollution.
[0092] In the embodiments of the present application, Figure 4 As shown, the process of constructing the geological and geomorphic model of the water source to be monitored includes but is not limited to steps S410 to S420:
[0093] Step S410, obtaining first topographic and geological data around the water source to be monitored, wherein the first topographic and geological data includes topographic map data, geological structure map data and soil type distribution map data;
[0094] Step S420: construct a geological model of the water source to be monitored based on the first topographic and geological data.
[0095] It is understandable that the topographic map can display the surface undulations and geographical location of the water source to be monitored, and the projection of the shape on the horizontal plane. The topographic map data contains the surface undulations and morphology data, geographical location and shape data of the water source to be monitored, as well as the hydrology, soil and vegetation data of the water source to be monitored. The geological structure map data includes but is not limited to the structural characteristic data and development history data of the water source to be monitored. Among them, the geological structure map data can display the primary structure (such as bedding) and secondary structure (such as folds, faults, rifts, etc.) of the water source to be monitored. The soil type distribution map data includes but is not limited to the soil type data of the water source to be monitored and the distribution data of each type of soil in the ground space. After obtaining the above data, the present embodiment can integrate and analyze the topographic map data, geological structure map data and soil type distribution map data through GIS and remote sensing technology to construct a detailed geological and geomorphological model. Specifically, this embodiment constructs a geological and geomorphological model based on the first topographic and geological data of the water source to be monitored, so that the geological and geomorphological model can reflect the basic laws of groundwater flow, such as the direction, flow rate, flow rate of groundwater and the exchange with surface water, thereby providing data support for subsequent water pollution tracing.
[0096] In the embodiment of the present application, after obtaining the geological and geomorphic model, a hydrodynamic and water quality model of the water source to be monitored can be constructed according to the geological and geomorphic model, so that the hydrodynamic and water quality model can reflect the water flow state and water pollution state of the water source to be monitored. Specifically, the hydrodynamic and water quality model can be expressed by the following formula:
[0097]
[0098] In the formula, C represents the initial concentration of pollutants, t represents the diffusion time of pollutants, and u represents the fluid velocity vector. represents the Hamiltonian operator, k represents the pollutant degradation coefficient, D represents the pollutant diffusion coefficient matrix, x, y and z represent the x-axis coordinate, y-axis coordinate and z-axis coordinate corresponding to the key point respectively, and R(x, y, z, t) represents the total amount of pollutants at the key point (x, y, z) at the pollutant diffusion time t.
[0099] It is understandable that pollutants will flow with the water body and diffuse in the water body. Assuming that the pollutant distribution at the terminal of the water area is C0(x, y, z), the concentration of pollutants in the water body after t time can be obtained as follows:
[0100] C0(x,y,z,t) t=0 =C0(x,y,z);
[0101] In the formula, C0(x,y,z,t) t=0 It indicates the concentration of pollutants in the water body after time t.
[0102] Assuming that the pollutant outlet continues to discharge pollutants, since the pollutants will flow with the water body and diffuse in the water body, the pollutant concentration of the water quality changes monitored at the downstream observation point can be expressed as the following formula:
[0103]
[0104] In the formula, C(X,T) represents the concentration of pollutants in the water body after flowing through a distance X after a period of time T, and D X is the longitudinal diffusion coefficient of the river, u X is the longitudinal flow velocity of the river, and k represents the pollutant degradation coefficient.
[0105] It can be understood that since pollutants have a certain diffusion law in water bodies, their diffusion time is related to distance, and the concentration of water pollutants monitored at key points is related to the initial pollutant concentration of water bodies in the basin. Therefore, this embodiment can calculate the ratio of initial concentration and diffusion time by comprehensively analyzing diffusion time, diffusion distance and initial diffusion concentration, so as to trace and locate the groundwater pollution outlet through the ratio.
[0106] Specifically, Figure 5 As shown, the process of predicting the location of the groundwater pollution outlet to be selected based on the real-time water quality data and the hydrodynamic water quality model includes but is not limited to steps S510 to S530:
[0107] Step S510, generating a water quality time series according to real-time water quality data;
[0108] Step S520, calculating the ratio of the initial concentration of pollutants to the diffusion time of pollutants according to the water quality time series and the hydrodynamic water quality model;
[0109] Step S530: predict the location of the groundwater pollution outlet to be selected based on the proportion and Bayesian reasoning model.
[0110] It can be understood that the Bayesian inference model can be expressed by the following formula:
[0111]
[0112] In the formula, x represents the initial data of the location of the groundwater pollution outlet to be selected, P(θ) is the prior distribution probability density function; P(θ,x) is the posterior distribution probability density function, that is, the probability value of each groundwater pollution outlet location to be selected after P(θ) is adjusted by the data x; P(x,θ) represents the likelihood function, and d represents the proportional coefficient.
[0113] It can be understood that this embodiment generates a water quality time series based on real-time water quality data, so that the state of the water pollutant content at each time point can be reflected through the water quality time series. Then, after calculating the ratio of the initial concentration of pollutants to the diffusion time of pollutants based on the water quality time series and the hydrodynamic water quality model, the Bayesian reasoning model is combined to predict the location of the groundwater pollution outlet to be selected, that is, the Bayesian reasoning model is used to show the probability of pollution at each water body outlet.
[0114] Specifically, Bayesian reasoning can use real-time water quality data to determine the posterior distribution of parameters (or positions), rather than being limited to giving an estimate of a point (an outlet position). After determining the posterior distribution function, this posterior distribution can be used to estimate the possibility of the outlet position of groundwater pollution. Specifically, this embodiment can obtain the probability distribution of the outlet position of groundwater pollution by integrating or sampling the posterior distribution function, and determine its possible range. Specifically, this embodiment determines the posterior probability distribution of the outlet position of pollutants by Bayesian reasoning when the monitored water quality is abnormal. Exemplarily, assuming that three monitors A1, A2 and A3 are set on the influent runoff of the water source (lake) to be monitored, when the data monitored by monitor A2 shows abnormal data, Bayesian reasoning can be used to estimate the probability distribution of the outlet position of pollutants. Specifically, this embodiment first obtains the ratio of initial concentration to diffusion time based on the pollutant concentration monitored by monitor A2, the distance from monitor A2, and the time of the observation point. Next, by combining the Bayesian reasoning method, the observed data is combined with the prior distribution probability density function and likelihood function to calculate the posterior distribution probability density function of the pollutant outlet location, so as to express the possible probability distribution of the pollutant outlet location under the observed data through the posterior distribution function. Then, by numerically calculating or sampling this posterior distribution function, the probability distribution of the groundwater pollution outlet location can be obtained, thereby determining its possible range. Taking into account real-time water quality data, groundwater flow models and prior knowledge, the outlet location of pollutants can be determined more accurately, thereby providing a more scientific and reliable basis for tracing the source of pollution.
[0115] In the embodiments of the present application, Figure 6 As shown, the process of constructing the pollutant transmission model of the water source to be monitored includes but is not limited to steps S610 to S620:
[0116] Step S610, constructing a groundwater flow model of the water source to be monitored;
[0117] Step S620: construct a pollutant transmission model for the water source to be monitored based on the groundwater flow model.
[0118] It is understandable that, since the geological and geomorphological model can reflect the terrain state, geological structure and other data of the water source to be monitored, this embodiment can construct a groundwater flow model based on the data reflected in the geological and geomorphological model. The groundwater flow model can be expressed by the following formula:
[0119]
[0120] In the formula, K x , K y , Kz They represent the permeability coefficients in the x, y, and z directions respectively, h represents the water head, W represents the unit volume flow rate, S represents the water supply degree, and t represents time.
[0121] Since pollutants will flow and spread with groundwater, this embodiment constructs a pollutant transmission model of the water source to be monitored based on the groundwater flow model. The expression of the pollutant transmission model is as follows:
[0122]
[0123] In the formula, D ij represents the hydraulic diffusion coefficient, q represents the unit flow rate of pollutant accumulation, θ represents the soil pores, C s represents the concentration of pollutants after aggregation, λ represents the reaction rate constant, u i represents the component velocity in each direction under the penetration velocity, ρ represents the specific gravity of the porous medium, It represents the pollutant concentration on the medium and R represents the retardation factor.
[0124] In the embodiments of the present application, Figure 7 As shown, the process of determining the target pollution source point according to the geological and geomorphological model, the location of the groundwater pollution outlet to be selected, and the pollutant transmission model includes but is not limited to steps S710 to S740:
[0125] Step S710, analyzing the pollutant composition information corresponding to the groundwater pollution outlet location to be selected;
[0126] Step S720, determining second topographic geological data of the location of the groundwater pollution outlet to be selected according to the geological and geomorphological model;
[0127] Step S730, simulating the pollutant propagation process through a pollutant transport model according to the pollutant composition information and the second topographic and geological data to obtain a simulation result;
[0128] Step S740: determine the target pollution source point according to the simulation results.
[0129] It is understandable that different pollution sources have different pollutant composition information, and different pollution sources are located in different locations. Therefore, after determining multiple suspicious groundwater pollution outlet locations to be selected, this embodiment analyzes the pollutant composition information at the location, and combines the second topographic geological data of the groundwater pollution outlet location to be selected, and simulates the pollutant propagation process through the pollutant transmission model, so as to reflect the flow path of the pollutants, and then can determine the location that best meets the actual situation from the multiple groundwater pollution outlet locations to be selected as the target pollution source point based on the simulation results.
[0130] In some embodiments, Figure 8 As shown, the complete implementation process of the water source pollution tracing method provided in the embodiment of the present application includes but is not limited to steps S810 to S860:
[0131] Step S810: collecting real-time water quality data of the water source to be monitored through a water quality monitor;
[0132] Step S820, constructing a geological model of the water source to be monitored based on the topographic and geological structure data;
[0133] Step S830: after constructing a hydrodynamic water quality model of the water source to be monitored based on the geological and geomorphological model, predict the location of the groundwater pollution outlet to be selected in combination with the time series data corresponding to the real-time water quality data;
[0134] Step S840, constructing a pollutant transmission model of the water source to be monitored according to the groundwater flow model of the water source to be monitored;
[0135] Step S850, simulating the propagation process of pollutants in soil and groundwater through a pollutant transport model;
[0136] Step S860: Determine the location closest to the actual situation from the locations of the groundwater pollution outlets to be selected as the pollution source point according to the simulation results of the propagation process.
[0137] From the above content, it can be seen that the embodiment of the present application calculates the possible outlet positions of pollutants by combining time series data and hydrodynamic water quality models, so that the pollution source can be located more accurately; and combined with the geological and geomorphological models around the water source and the pollutant transmission model, the propagation process of pollutants in groundwater can be simulated, and the transmission process of pollutants in the soil can also be simulated, so that the pollution source point can be reversely deduced according to the propagation process, and the pollution of the groundwater source can be accurately located and tracked.
[0138] Reference Fig. 9 The embodiment of the present application provides a water pollution source tracing processing device, the device comprising:
[0139] The first module 910 is used to obtain real-time water quality data of the water source to be monitored;
[0140] The second module 920 is used to construct a geological and geomorphic model of the water source to be monitored;
[0141] The third module 930 is used to construct a hydrodynamic and water quality model of the water source to be monitored based on the geological and geomorphological model;
[0142] The fourth module 940 is used to predict the location of the groundwater pollution outlet to be selected according to the real-time water quality data and the hydrodynamic water quality model;
[0143] The fifth module 950 is used to construct a pollutant transmission model for the water source to be monitored;
[0144] The sixth module 960 is used to determine the target pollution source point based on the geological and geomorphological model, the location of the groundwater pollution outlet to be selected and the pollutant transmission model.
[0145] It can be understood that the contents of the above method embodiments are all applicable to the present device embodiments, the functions specifically implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.
[0146] The embodiment of the present application also provides an electronic device, the electronic device includes a memory and a processor, the memory stores a computer program, and the processor implements the above-mentioned water source pollution tracing processing method when executing the computer program. The electronic device can be any smart terminal including a tablet computer, a car computer, etc.
[0147] It can be understood that the contents of the above method embodiments are all applicable to the present device embodiments, the functions specifically implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.
[0148] See also Fig.10 , Fig.10 The hardware structure of an electronic device of another embodiment is illustrated, and the electronic device includes:
[0149] The processor 1010 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application;
[0150] The memory 1020 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 1020 can store an operating system and other application programs. When the technical solution provided in the embodiment of this specification is implemented by software or firmware, the relevant program code is stored in the memory 1020, and the processor 1010 calls and executes the water source pollution tracing processing method of the embodiment of this application;
[0151] Input / output interface 1030, used to implement information input and output;
[0152] The communication interface 1040 is used to realize the communication interaction between the device and other devices. The communication can be realized through a wired manner (such as USB, network cable, etc.) or a wireless manner (such as mobile network, WIFI, Bluetooth, etc.);
[0153] Bus 1050 , which transmits information between various components of the device (e.g., processor 1010 , memory 1020 , input / output interface 1030 , and communication interface 1040 );
[0154] The processor 1010 , the memory 1020 , the input / output interface 1030 , and the communication interface 1040 are connected to each other in communication within the device via a bus 1050 .
[0155] An embodiment of the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the above-mentioned water source pollution tracing method is implemented.
[0156] It can be understood that the contents of the above method embodiments are all applicable to the present storage medium embodiments, the functions specifically implemented by the present storage medium embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.
[0157] The memory, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory may optionally include a memory remotely disposed relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.
[0158] The embodiments described in the embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. Those skilled in the art will appreciate that with the evolution of technology and the emergence of new application scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.
[0159] Those skilled in the art will appreciate that the technical solutions shown in the figures do not constitute a limitation on the embodiments of the present application, and may include more or fewer steps than shown in the figures, or a combination of certain steps, or different steps.
[0160] The device embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0161] Those skilled in the art will appreciate that all or some of the steps in the methods disclosed above, and the functional modules / units in the systems and devices may be implemented as software, firmware, hardware, or a suitable combination thereof.
[0162] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.
[0163] It should be understood that in the present application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.
[0164] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the above units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.
[0165] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0166] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.
[0167] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including multiple instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM), disk or optical disk and other media that can store programs.
[0168] The preferred embodiments of the present invention are described above with reference to the accompanying drawings, but the scope of the rights of the present invention is not limited thereto. Any modification, equivalent substitution and improvement made by a person skilled in the art without departing from the scope and essence of the present invention should be within the scope of the rights of the present invention.
Claims
1. A method for tracing the source of water pollution, characterized in that: The method comprises the following steps: Obtain real-time water quality data of the water source to be monitored; Constructing a geological and geomorphic model of the water source to be monitored; Constructing a hydrodynamic and water quality model of the water source to be monitored according to the geological and geomorphological model; Predicting the location of the groundwater pollution outlet to be selected according to the real-time water quality data and the hydrodynamic water quality model; Constructing a pollutant transport model for the water source to be monitored; The target pollution source point is determined according to the geological and geomorphological model, the location of the groundwater pollution outlet to be selected and the pollutant transmission model.
2. The method according to claim 1, characterized in that: The step of obtaining real-time water quality data of the water source to be monitored includes: Determine the key points of the water source to be monitored; Several types of real-time water quality data of the key points are collected through a preset collection method.
3. The method according to claim 1, characterized in that The step of constructing the geological and geomorphological model of the water source to be monitored includes: Acquire first topographic and geological data around the water source to be monitored, wherein the first topographic and geological data includes topographic map data, geological structure map data, and soil type distribution map data; The geological and geomorphic model of the water source to be monitored is constructed based on the first topographic and geological data.
4. The method according to claim 2, characterized in that: The hydrodynamic water quality model is as follows: In the formula, C represents the initial concentration of pollutants, t represents the diffusion time of pollutants, and u represents the fluid velocity vector. represents the Hamiltonian operator, k represents the pollutant degradation coefficient, D represents the pollutant diffusion coefficient matrix, x, y and z represent the x-axis coordinate, y-axis coordinate and z-axis coordinate corresponding to the key point respectively, and R(x, y, z, t) represents the total amount of pollutants at the key point (x, y, z) at the pollutant diffusion time t.
5. The method according to claim 4, characterized in that The predicting of the location of the groundwater pollution outlet to be selected according to the real-time water quality data and the hydrodynamic water quality model comprises: generating a water quality time series according to the real-time water quality data; Calculate the ratio of the initial concentration of pollutants to the diffusion time of pollutants according to the water quality time series and the hydrodynamic water quality model; The location of the groundwater pollution outlet to be selected is predicted based on the ratio and the Bayesian inference model.
6. The method according to claim 1, characterized in that The step of constructing the pollutant transmission model of the water source to be monitored includes: Constructing a groundwater flow model of the water source to be monitored; A pollutant transport model of the water source to be monitored is constructed based on the groundwater flow model.
7. The method according to claim 1, characterized in that The step of determining the target pollution source point according to the geological and geomorphological model, the location of the groundwater pollution outlet to be selected, and the pollutant transmission model includes: Analyze the pollutant composition information corresponding to the groundwater pollution outlet location to be selected; Determine second topographic and geological data of the location of the groundwater pollution outlet to be selected according to the geological and geomorphological model; According to the pollutant composition information and the second topographic and geological data, simulating the pollutant propagation process through the pollutant transport model to obtain a simulation result; The target pollution source point is determined according to the simulation result.
8. A water pollution source tracing treatment device, characterized in that: The device comprises: The first module is used to obtain real-time water quality data of the water source to be monitored; The second module is used to construct a geological and geomorphological model of the water source to be monitored; The third module is used to construct a hydrodynamic and water quality model of the water source to be monitored based on the geological and geomorphological model; A fourth module is used to predict the location of the groundwater pollution outlet to be selected based on the real-time water quality data and the hydrodynamic water quality model; The fifth module is used to construct a pollutant transmission model for the water source to be monitored; The sixth module is used to determine the target pollution source point based on the geological and geomorphological model, the location of the groundwater pollution outlet to be selected and the pollutant transmission model.
9. An electronic device, characterized in that: include: at least one processor; at least one memory for storing at least one program; When the at least one program is executed by the at least one processor, the at least one processor implements the method according to any one of claims 1 to 7.
10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.